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Q34. What is map function in Python?

Ans: map function executes the function given as the first argument on all the elements of the iterable given as the second argument. If the function given takes in more than 1 arguments, then many iterables are given. #Follow the link to know more similar functions. 

Q35. How to get indices of N maximum values in a NumPy array?

Ans: We can get the indices of N maximum values in a NumPy array using the below code:

import numpy as np

arr = np.array([1, 3, 2, 4, 5])



[ 4 3 1 ]

Q36. How do you calculate percentiles with Python/ NumPy?

Ans: We can calculate percentiles with the following code




4 import numpy as np

a = np.array([1,2,3,4,5])

p = np.percentile(a, 50) #Returns 50th percentile, e.g. median



3 Q37. What advantages do NumPy arrays offer over (nested) Python lists?


1. Python’s lists are efficient general-purpose containers. They support (fairly) efficient insertion, deletion, appending, and concatenation, and Python’s list comprehensions make them easy to construct and manipulate. 

2. They have certain limitations: they don’t support “vectorized” operations like elementwise addition and multiplication, and the fact that they can contain objects of differing types mean that Python must store type information for every element, and must execute type dispatching code when operating on each element. 

3. NumPy is not just more efficient; it is also more convenient. You get a lot of vector and matrix operations for free, which sometimes allow one to avoid unnecessary work. And they are also efficiently implemented. 

4. NumPy array is faster and You get a lot built in with NumPy, FFTs, convolutions, fast searching, basic statistics, linear algebra, histograms, etc. 

Q38. Explain the use of decorators.

Ans: Decorators in Python are used to modify or inject code in functions or classes. Using decorators, you can wrap a class or function method call so that a piece of code can be executed before or after the execution of the original code. Decorators can be used to check for permissions, modify or track the arguments passed to a method, logging the calls to a specific method, etc. 

Q39. What is the difference between NumPy and SciPy? 

1. In an ideal world, NumPy would contain nothing but the array data type and the most basic operations: indexing, sorting, reshaping, basic elementwise functions, et cetera. 

2. All numerical code would reside in SciPy. However, one of NumPy’s important goals is compatibility, so NumPy tries to retain all features supported by either of its predecessors. 

3. Thus NumPy contains some linear algebra functions, even though these more properly belong in SciPy. In any case, SciPy contains more fully-featured versions of the linear algebra modules, as well as many other numerical algorithms. 

4. If you are doing scientific computing with python, you should probably install both NumPy and SciPy. Most new features belong in SciPy rather than NumPy. 

Q40. How do you make 3D plots/visualizations using NumPy/SciPy?

Ans: Like 2D plotting, 3D graphics is beyond the scope of NumPy and SciPy, but just as in the 2D case, packages exist that integrate with NumPy. Matplotlib provides basic 3D plotting in the mplot3d subpackage, whereas Mayavi provides a wide range of high-quality 3D visualization features, utilizing the powerful VTK engine. 

Q41. Which of the following statements create a dictionary? (Multiple Correct Answers Possible)

a) d = {}

b) d = {“john”:40, “peter”:45}

c) d = {40:”john”, 45:”peter”}

d) d = (40:”john”, 45:”50”)

Answer: b, c & d. 

Dictionaries are created by specifying keys and values.

Q42. Which one of these is floor division?

a) /

b) //

c) %

d) None of the mentioned

Answer: b) //

When both of the operands are integer then python chops out the fraction part and gives you the round off value, to get the accurate answer use floor division. For ex, 5/2 = 2.5 but both of the operands are integer so answer of this expression in python is 2. To get the 2.5 as the answer, use floor division using //. So, 5//2 = 2.5 

Q43. What is the maximum possible length of an identifier?

a) 31 characters

b) 63 characters

c) 79 characters

d) None of the above

Answer: d) None of the above

Identifiers can be of any length.

Q44. Why are local variable names beginning with an underscore discouraged?

a) they are used to indicate a private variables of a class

b) they confuse the interpreter

c) they are used to indicate global variables

d) they slow down execution

Answer: a) they are used to indicate a private variables of a class

As Python has no concept of private variables, leading underscores are used to indicate variables that must not be accessed from outside the class. 

Q45. Which of the following is an invalid statement?

a) abc = 1,000,000

b) a b c = 1000 2000 3000

c) a,b,c = 1000, 2000, 3000

d) a_b_c = 1,000,000

Answer: b) a b c = 1000 2000 3000

Spaces are not allowed in variable names.

Q46. What is the output of the following? try:

if '1' != 1:

raise "someError"


print("someError has not occured")

except "someError":

print ("someError has occured")

a) someError has occured

b) someError has not occured

c) invalid code

d) none of the above

Answer: c) invalid code

A new exception class must inherit from a BaseException. There is no such inheritance here.

Q47. Suppose list1 is [2, 33, 222, 14, 25], What is list1[-1] ?

a) Error

b) None

c) 25

d) 2

Answer: c) 25

The index -1 corresponds to the last index in the list.

Q48. To open a file c:\scores.txt for writing, we use

a) outfile = open(“c:\scores.txt”, “r”)

b) outfile = open(“c:\\scores.txt”, “w”)

c) outfile = open(file = “c:\scores.txt”, “r”)

d) outfile = open(file = “c:\\scores.txt”, “o”)

Answer: b) The location contains double slashes ( \\ ) and w is used to indicate that file is being written to.

Q49. What is the output of the following? f = None

for i in range (5):

with open("data.txt", "w") as f:

if i > 2:


print f.closed

a) True

b) False

c) None

d) Error

Answer: a) True 

The WITH statement when used with open file guarantees that the file object is closed when the with block exits.

Q50. When will the else part of try-except-else be executed?

a) always

b) when an exception occurs

c) when no exception occurs

d) when an exception occurs in to except block

Answer: c) when no exception occurs

Source: Contents are provided by Technicalsymposium Google Group Members. 
Disclaimer: All the above contents are provided by Google Group members. 
Further, this content is not intended to be used for commercial purpose. is not liable/responsible for any

1) What is Python? What are the benefits of using Python? 

Python is a programming language with objects, modules, threads, exceptions and automatic memory management. The benefits of pythons are that it is simple and easy, portable, extensible, build-in data structure and it is an open source. 

2) What is PEP 8? 

PEP 8 is a coding convention, a set of recommendation, about how to write your Python code more readable. 

3) What is pickling and unpickling? 

Pickle module accepts any Python object and converts it into a string representation and dumps it into a file by using dump function, this process is called pickling. While the process of retrieving original Python objects from the stored string representation is called unpickling. 

4) How Python is interpreted? 

Python language is an interpreted language. Python program runs directly from the source code. It converts the source code that is written by the programmer into an intermediate language, which is again translated into machine language that has to be executed. 

5) How memory is managed in Python? 

• Python memory is managed by Python private heap space. All Python objects and data structures are located in a private heap. The programmer does not have an access to this private heap and interpreter takes care of this Python private heap. 

• The allocation of Python heap space for Python objects is done by Python memory manager. The core API gives access to some tools for the programmer to code. 

• Python also have an inbuilt garbage collector, which recycle all the unused memory and frees the memory and makes it available to the heap space. 

6) What are the tools that help to find bugs or perform static analysis? 

PyChecker is a static analysis tool that detects the bugs in Python source code and warns about the style and complexity of the bug. Pylint is another tool that verifies whether the module meets the coding standard. 

7) What are Python decorators? 

A Python decorator is a specific change that we make in Python syntax to alter functions easily. 

8) What is the difference between list and tuple? 

The difference between list and tuple is that list is mutable while tuple is not. Tuple can be hashed for e.g as a key for dictionaries. 

9) How are arguments passed by value or by reference? 

Everything in Python is an object and all variables hold references to the objects. The references values are according to the functions; as a result you cannot change the value of the references. However, you can change the objects if it is mutable. 

10) What is Dict and List comprehensions are? 

They are syntax constructions to ease the creation of a Dictionary or List based on existing iterable. 

11) What are the built-in type does python provides? 

There are mutable and Immutable types of Pythons built in types Mutable built-in types 

• List

• Sets

• Dictionaries

Immutable built-in types 

• Strings

• Tuples

• Numbers

12) What is namespace in Python? 

In Python, every name introduced has a place where it lives and can be hooked for. This is known as namespace. It is like a box where a variable name is mapped to the object placed. Whenever the variable is searched out, this box will be searched, to get corresponding object. 

13) What is lambda in Python? 

It is a single expression anonymous function often used as inline function. 

14) Why lambda forms in python does not have statements? 

A lambda form in python does not have statements as it is used to make new function object and then return them at runtime. 

15) What is pass in Python? 

Pass means, no-operation Python statement, or in other words it is a place holder in compound statement, where there should be a blank left and nothing has to be written there. 

16) In Python what are iterators? 

In Python, iterators are used to iterate a group of elements, containers like list.

17) What is unittest in Python? 

A unit testing framework in Python is known as unittest. It supports sharing of setups, automation testing, shutdown code for tests, aggregation of tests into collections etc. 

18) In Python what is slicing? 

A mechanism to select a range of items from sequence types like list, tuple, strings etc. is known as slicing. 

19) What are generators in Python? 

The way of implementing iterators are known as generators. It is a normal function except that it yields expression in the function. 

20) What is docstring in Python? 

A Python documentation string is known as docstring, it is a way of documenting Python functions, modules and classes. 

21) How can you copy an object in Python? 

To copy an object in Python, you can try copy.copy () or copy.deepcopy() for the general case. You cannot copy all objects but most of them. 

22) What is negative index in Python? 

Python sequences can be index in positive and negative numbers. For positive index, 0 is the first index, 1 is the second index and so forth. For negative index, (-1) is the last index and (-2) is the second last index and so forth. 

23) How you can convert a number to a string? 

In order to convert a number into a string, use the inbuilt function str(). If you want a octal or hexadecimal representation, use the inbuilt function oct() or hex(). 

24) What is the difference between Xrange and range? 

Xrange returns the xrange object while range returns the list, and uses the same memory and no matter what the range size is. 

25) What is module and package in Python? 

In Python, module is the way to structure program. Each Python program file is a module, which imports other modules like objects and attributes. The folder of Python program is a package of modules. A package can have modules or subfolders.

Source: Contents are provided by Technicalsymposium Google Group Members. 
Disclaimer: All the above contents are provided by Google Group members. 
Further, this content is not intended to be used for commercial purpose. is not liable/responsible for any copyright issues.

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